BaseDataFrameLoader

class langchain_community.document_loaders.dataframe.BaseDataFrameLoader(data_frame: Any, *, page_content_column: str = 'text')

Initialize with dataframe object.

Parameters:

• data_frame (Any) – DataFrame object.

• page_content_column (str) – Name of the column containing the page content. Defaults to “text”.

Methods

__init__(data_frame, *[, page_content_column])	Initialize with dataframe object.
alazy_load()	A lazy loader for Documents.
aload()	Load data into Document objects.
lazy_load()	Lazy load records from dataframe.
load()	Load data into Document objects.
load_and_split([text_splitter])	Load Documents and split into chunks.

__init__(data_frame: Any, *, page_content_column: str = 'text')

Initialize with dataframe object.

Parameters:

• data_frame (Any) – DataFrame object.

• page_content_column (str) – Name of the column containing the page content. Defaults to “text”.

async alazy_load() → AsyncIterator[Document]

A lazy loader for Documents.

Return type:

AsyncIterator[Document]

async aload() → List[Document]

Load data into Document objects.

Return type:

List[Document]

lazy_load() → Iterator[Document]

Lazy load records from dataframe.

Return type:

Iterator[Document]

load() → List[Document]

Load data into Document objects.

Return type:

List[Document]

load_and_split(text_splitter: TextSplitter | None = None) → List[Document]

Load Documents and split into chunks. Chunks are returned as Documents.

Do not override this method. It should be considered to be deprecated!

Parameters:

text_splitter (Optional[TextSplitter]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.

Returns:

List of Documents.

Return type:

List[Document]